Real-time Audio Propagation via Precomputed Impulse Responses
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Solution Overview
Problem
Current video game technologies face challenges in creating realistic audio experiences in three-dimensional environments, as game developers must manually code sound outputs for various locations, which is time-consuming and labor-intensive.
Innovation Solution
A system that utilizes a numerical simulator to precompute and modify audio signals in real-time, simulating audio sources and receivers within a virtual three-dimensional environment, allowing for dynamic acoustic adjustments based on source and receiver locations, using a volumetric grid and wave-based simulations to generate data files for interpolation and convolution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If game developers manually code different sounds for various locations in a three-dimensional environment, then audio realism is improved, but development time and effort increase significantly
Solution Approach 1:
The system pre-computes acoustic impulse responses for various source and receiver locations in the three-dimensional environment before runtime. These pre-computed acoustic data are stored and reused during game execution, eliminating the need for manual coding of sounds for each location while maintaining audio realism.
Solution Approach 2:
The system uses numerical simulation to generate virtual acoustic impulse responses that replicate real-world sound propagation behavior. These simulated acoustic data serve as templates that can be applied to different sound sources and locations, replacing manual audio programming with automated synthesis.
2Adaptability or versatility
If the system supports dynamic sources and receivers in three-dimensional space, then audio adaptability is improved, but computational complexity increases
Solution Approach 1:
The system pre-computes and stores acoustic impulse responses for discrete source and receiver locations in a three-dimensional grid before runtime. During execution, the system interpolates between pre-computed values based on current source and receiver positions, avoiding real-time wave equation solving while maintaining spatial adaptability.
Solution Approach 2:
The system discretizes the continuous three-dimensional space into a volumetric grid with discrete source and receiver locations. This dimensional discretization transforms the continuous acoustic field problem into a discrete lookup and interpolation problem, reducing computational complexity while preserving spatial adaptability.
3Manufacturing precision
If real-time acoustic modification is implemented for arbitrary audio signals, then audio quality is improved, but processing requirements increase
Solution Approach 1:
The system pre-computes acoustic impulse responses and stores them in a compressed format before runtime. During real-time audio processing, the system retrieves relevant pre-computed data and applies convolution with the audio signal, which is computationally efficient compared to real-time wave equation solving while maintaining high audio quality.
Solution Approach 2:
The system uses convolution in the frequency domain (via FFT) to efficiently apply pre-computed acoustic impulse responses to arbitrary audio signals. This parameter transformation approach converts the computationally intensive time-domain convolution into efficient frequency-domain multiplication, reducing real-time processing requirements.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables realistic audio propagation in video games and other applications, allowing audio to be perceived as originating from specific locations, reducing development time and enhancing the gaming experience with dynamic sound effects.
Implementation Method 1
a numerical simulator that can simulate a sample audio signal from a plurality of source locations and received at a plurality of receiver locations in a static virtual three-dimensional environment
Data Source
AI summary
Described herein are techniques pertaining to real-time propagation of an arbitrary audio signal in a fixed virtual environment with dynamic audio sources and receivers. A wave-based numerical simulator is configured to compute response signals in the virtual environment with respect to a sample signal at various source and receiver locations. The response signals are compressed and placed in the frequency domain to generate frequency responses. Such frequency responses are selectively convolved with the arbitrary audio signal to allow real-time propagation with moving sources and receivers in the virtual environment.